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ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research.
Human Brain Mapping (2020)
  • Peter Kochunov, University of Maryland, Baltimore
  • L. Elliot Hong, University of Maryland, Baltimore
  • Emily L. Dennis, Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital Boston Massachusetts USA
  • Rajendra A. Morey, Duke University
  • David F. Tate, University of Utah
  • Elisabeth A. Wilde, University of Utah
  • Mark Logue, VA Boston Healthcare System, National Center for PTSD Boston Massachusetts USA
  • Sinead Kelly, University of Southern California
  • Sinead Kelly, Harvard University
  • Gary Donohoe, National University of Ireland, Galway
  • Pauline Favre, French Institute of Health and Medical Research
  • Pauline Favre, Université Paris-Saclay
  • Josselin Houenou, Neurospin, CEA, Université Paris‐Saclay Gif‐sur‐Yvette France
  • Christopher R. K. Ching, University of Southern California
  • Laurena Holleran, National University of Ireland, Galway
  • Ole A. Andreassen, University of Oslo
  • Ole A. Andreassen, Oslo University Hospital
  • Laura S. van Velzen, University of Melbourne
  • Lianne Schmaal, University of Melbourne
  • Julio E. Villalón‐Reina, University of Southern California
  • Carrie E. Bearden, Semel Institute for Neuroscience and Human Behavior
  • Carrie E. Bearden, University of California, Los Angeles
  • Fabrizio Piras, Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology IRCCS Santa Lucia Foundation Rome Italy
  • Gianfranco Spalletta, Baylor College of Medicine
  • Odile A. van den Heuvel, VU University Amsterdam
  • Dick J. Veltman, VU University Amsterdam
  • Dan J. Stein, University of Cape Town
  • Meghann C. Ryan, University of Maryland, Baltimore
  • Yunlong Tan, Peking University
  • Theo G. M. van Erp, University of California, Irvine
  • Jessica A. Turner, Georgia State University
  • Liz Haddad, University of Southern California
  • Talia M. Nir, University of Southern California
  • David C. Glahn, Boston Children's Hospital
  • David C. Glahn, Hartford Hospital
  • Paul M. Thompson, University of Southern California
  • Neda Jahanshad, University of Southern California
Abstract
The ENIGMA‐DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder‐oriented working groups used the ENIGMA‐DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive–compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA‐defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individual's brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross‐diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large‐scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross‐diagnosis features.
Disciplines
Publication Date
April 16, 2020
DOI
10.1002/HBM.24998
Citation Information
Peter Kochunov, L. Elliot Hong, Emily L. Dennis, Rajendra A. Morey, et al.. "ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research." Human Brain Mapping (2020)
Available at: http://works.bepress.com/tate-david/78/
Creative Commons license
Creative Commons License
This work is licensed under a Creative Commons CC_BY International License.